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使用F-FDG PET/CT放射性特征预测肺腺癌中的PD-L1

Huiyuan Zhang¹, Xiangxi Meng², Zhe Wang³

¹Department of Nuclear Medicine, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.

Diagnostics (Basel, Switzerland)

|March 13, 2025

概括

[F]FDG PET/CT放射学和临床数据有效预测肺腺癌中的PD-L1表达,有助于免疫疗法选择. 与临床因素相结合的多式成像改善了针对性治疗的患者查.

科学领域:

在瘤学瘤学.
核医学是一种核医学.
放射学放射学是一门学科.

背景情况:

肺腺癌 (LUAD) 患者选择免疫疗法取决于准确的PD-L1表达评估.
目前用于PD-L1评估的方法可能是侵入性的和昂贵的.
需要新的成像生物标志物来非侵入性预测PD-L1状态.

研究的目的:

探索[¹⁸F]FDG PET/CT放射学对LUAD患者PD-L1表达水平的预测价值.
确定主要的放射性特征和预测PD-L1状态的临床数据.
帮助查可能受益于免疫治疗的LUAD患者.

主要方法:

对接受[¹⁸F]FDG PET/CT的101名LUAD患者的回顾性分析.
免疫组织化学用于确定PD-L1阳性 (44) 和阴性 (57) 状态.
使用临床数据,放射学,代谢和CT特征进行训练的机器学习模型 (随机森林,前进逐步回归,LASSO,树,歧视,物流回归,SVM).

主要成果:

所有模型都显示了PD-L1状态的预测能力.
综合临床数据,放射学和代谢参数的多式模式显示出最佳性能.
关键预测因素包括临床阶段,性别,吸烟史,结节型,,TLGlean,MTV和PET形状球性.

结论:

结合临床数据,FDG PET/CT放射学和代谢参数,可以有效预测LUAD中的PD-L1表达.
这种多模式的方法有助于选择免疫治疗的患者.
观察到的CT特征和代谢信息对于预测PD-L1表达至关重要.

关键词:

在PD-L1中.聚乙烯/聚乙烯/聚乙烯 [18F] 德国航空总局肺部腺癌的癌症.无线电学 (radiomics) 是一种无线电学.

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